Top Hybrid Machine Learning Engineer Jobs

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

As a Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

As a Senior Machine Learning Engineer, you will develop machine learning models, manage their lifecycle, build infrastructure, and collaborate with teams to enhance our capabilities in various ML areas.

As a Lead AI Engineer, you will design, develop, and scale backend and ML systems, mentor engineers, and collaborate to create predictive ML solutions.

As a Senior AI Engineer, you will enhance AI models for fall detection, manage ML systems, and develop data pipelines, ensuring high accuracy and deployment.

Lead the development and implementation of machine learning models for mortgage risk assessments, ensuring compliance and operational integration.

As a Staff Machine Learning Engineer, you will design and develop VoIP infrastructure and integrate LLMs into voice platforms while enhancing operational practices.

The Principal Machine Learning Engineer will lead the technical direction of ML solutions for Snapchat, focusing on design, deployment, and oversight of core ML initiatives.

The Senior Applied AI Engineer will build multimodal systems, implement streaming pipelines, and mentor team members, focusing on AI and data integration.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.